{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x27eb55fc808>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XnB/8cVXVqENyPC/dMZqRmZ2YtaiAV9eEdrKbrw/pNwLQh7Q1ctJTI/NK3Riz0hgjxpjBxpih3l/vnPKaTGPMkeCVqRRsP1xO3q6jTBnTy/Z7gduNr+/puH5OHlqykbkrd4fs3L4+pMFccHQm2U4H+49XU13nDul5z5WuKFW2sSCviIS4GCbl9rS6lKiUFB/LnKm5XD2wK4++/QX/86/CkJy3sQ9pQsD6kPor2+XAGNhps6t1DXVlC+U19SxZv59vDe5GlyAvPFHN8/U9vX5YBk+8t53f/3NrULeo9fUh/dbg7gHrQ+qvL2fA2CzUdZKvsoUl6w9QWedmmu7zYrm42BieuHEI7RJi+duHO6mqbeCRIPU9DUYfUn9ldkkhNkYoPKyhrlRAGWN4MW8PQ3p0YEgA+1GqtouJEX597UBSEhv7nlYGqe9pMPqQ+ishLobeXZJttwBJQ12FvX/vPMrO0kr+cOMQq0tRTfj6niYnxPLH9wuprnfzx0lDiQ/QMEmw+pC2RrbTYbsZMBrqKuzN//ceOqck8M3B2q4u3IgIs67sR0pCHL95Zwu19W7+Z3Jg+p76+pBOGGLd/j7ZLgf/2lpCvdsTsH+sgs0eVaqodeBENe9vOcykkT1t2SA5Wtx5SV9+fe1APthawvT5gel76utD2r9r4PuQ+isn3UGDx1B0tNKyGlpLQ12FtYWrigCYMrqXxZWoltw6pjd/uHEIeTvPve+prw/pt0O0LUBzsp2N/6DYaVxdQ12FrZp6N6+u3ccV56fTo1NwWpepwLp+eA/+Mrmx7+mU59re99TXhzRUe700J8uVAmCrGTAa6ipsvbPxIMcq67hNd2O0lasHdWPObbkUHm7se1rShr6nwe5D6q/khDgyOraz1c1SDXUVtl7MK6KvM4WLsrRTot1c1t/FC7c39j29sZV9T319SK2+SvfJtlkXJA11FZY+33+Cgn0nmDqmd1AWtajgG5vVtr6noehD2hrZLgc7SyvweOzR4E1DXYWlF/OKSE6I5TsjelhdijoHp/Y93Xbo7FvZ+vqQXpjVBWdqeGwHkeNyUFPv4cCJaqtL8YuGugo7xyrrWLahmOuGZdA+BF1uVHD5+p7GxsCkOXl8vr/5vqe+PqQTh4ZP79lsl71a22moq7CzOH8fdQ0ebtN9XiJGtsvBazMvJDUpjsnPrmbtnjP3PQ1lH1J/+UK9sMQeDTM01FVYcXsMC/KKGN2ns6WLTlTg9eqSzOKZY3G1T2Tq3NP7nvr6kF5xXmj6kPqrY3ICaY5EvVJXqi1WbC3hwIlqpl2YaXUpKgi6dWjH4pljyeySwvQX8ln+xeEvn/P1IQ11Mwx/ZLtSIifURaSniKwQkS0isllE7vMef1xEtorI5yLyhojo9nnqnM3P20N6+0SuGhA+//1WgZXmSOTVGWM4v3t7vv/Sui8XGoW6D2lrZLscFJZUBHXv+EDx50q9AXjAGHM+MAa4R0QGAMuBgcaYwcB24KfBK1NFg12lFXxSeIQpo3vbZvMk1TYdkxNYeMdocnt34r5XP+PFvD2W9CH1V44rlfKaBkrLa60upUX+9Cg9aIxZ731cDmwBMowx7xljfLv2rAJ07pk6JwtWFREfK9w8StvVRQNf39NLcpz8YulmymsbwmbB0ansNAOmVZdDIpIJDANWn/LU94B/NPOeGSKSLyL5paWlZ3qJUlTWNvC/6/Zz9cBuuFKTrC5HhUi7hFjm3DaCbw/pTo7LwYVZoe1D6q+vZsCEf6j7vZ+6iDiA14FZxpiyJsd/RuMQzcIzvc8YMweYA5Cbmxv+A1LKEm8WHKC8pkH3eYlCiXGx/PmWYXg8JmxXD7tSE0lNirPFlbpfoS4i8TQG+kJjzJImx6cB3wKuMHa4g6DCkjGN0xgHdGvPiN6drC5HWSRcAx0am4HYZQ8Yf2a/CDAX2GKMebLJ8fHAT4AJxhj/d+tR6hRrdh9j66Fybhvb27K2ZUq1JNvpsMXwiz9j6hcBU4HLRaTA++sa4H+AVGC599gzwSxURa4XVxXRPikurJaGK3WqnHQHRypqOVHVtj3iQ6XF4RdjzErgTJdP7wS+HBVtDp2s4d1Nh/juhZm0Swi/qWxK+TSdAZOb2dniapqnk4GVpV5esxe3Mdw6Rm+QqvBml9Z2GurKMnUNHl5Zs5dx/ZxkpqVYXY5SZ5XRqR1J8TEa6ko155+bD1FaXss03Y1R2UBsjNA3LfxvlmqoK8ssyNtDr87JjOvntLoUpfxih2mNGurKEl8Ul7F2z3FtV6dsJcfl4MCJaqrqGlp+sUU01JUlFqzaQ2JcDDfm6pZByj58M2B2llRaXEnzNNRVyJ2squeNzw5w7dAMOiYnWF2OUn7LSfdOaywN3y5IGuoq5F5bt4+aeg9TdZ8XZTO9u6QQFyNhPa6uoa5CyuMxLFhVxIjenRiY0cHqcpRqlfjYGHp3SabwsIa6UgB8XFhK0dEq3Y1R2VaOK5UdpRrqSgHwYl4RaY5Erh7YzepSlGqTbJeDoqNV1DV4rC7ljDTUVcjsPVrFim0l3DKqJwlx+tVT9pTtcuD2GPYcDc8ZMPqTpULmpdVFxIgweXQvq0tRqs3CvbWdhroKieo6N4vW7uPrA9Lp1qGd1eUo1WZZTgciGuoqyr21oZiT1fXcpvu8KJtrlxBLRsd2YbsHjIa6CjpjDPPz9tAv3cGYvuG7D7VS/soJ4z1gNNRV0K3fe4LNxWVMHZup7epURMh2OdhVWoHbE36tmTXUVdAtyNuDIzGO64ZpuzoVGbJdDmobPOw/Hn7tmf1pPN1TRFaIyBYR2Swi93mPdxaR5SJS6P1d28Cr05SW1/L3jQe5YUQPHIktdk9UyhayXeHbBcmfK/UG4AFjzPnAGOAeERkAPAR8YIzJAT7w/lmp/7Bo7V7q3dquTkWWcJ7W2GKoG2MOGmPWex+XA1uADGAiMN/7svnAtcEqUtnTiao65ucVcVF2ly9/CJSKBB3axeNMTQzLGTCtGlMXkUxgGLAaSDfGHITG4Adczbxnhojki0h+aWnpuVWrbMMYw8/f3MTxyjoeGn++1eUoFXDhOgPG71AXEQfwOjDLGFPm7/uMMXOMMbnGmFynU9uWRYulBcW8/flBZl2Zw6AeuhujijzZLgc7SyowJrxmwPgV6iIST2OgLzTGLPEePiwi3bzPdwNKglOispv9x6v4f0s3MaJ3J74/LsvqcpQKimyXg/LaBg6X1Vpdyn/wZ/aLAHOBLcaYJ5s8tQyY5n08DVga+PKU3bg9hgcWb8DjMTx101DiYnXWrIpM4Xqz1J+fuIuAqcDlIlLg/XUN8DvgKhEpBK7y/llFuec+2cXq3cd4ZMIF9OqSbHU5SgWNL9QLS8KrtV2LE4eNMSuB5pYBXhHYcpSdfVFcxhPvbeMbF6Rz4whtKK0im9ORSPukOFteqSvVopp6N7MWfUbH5AR+e/1g3Q5ARTwRISc9VUNdRabH393G9sMVPHbDYDqnJFhdjlIhke0Mv2mNGurqnH264whzV+5m6pjeXNb/jMsVlIpI2S4HRyvrOF5ZZ3UpX9JQV+fkZFU9DyzeQF9nCg9fo4uMVHTJTvfOgAmjRtQa6qrNjDH87M2NHKmo5elJw2iXEGt1SUqFVLbTOwPmsIa6igC6alRFu4yO7WgXHxtW4+oa6qpNDpyo1lWjKurFxAhZrhQdflH25vEYHlhcoKtGlcI7A+Zw+CxA0p9G1WrPrdzFql3HeOTbumpUqWyXg+KTNVTWNlhdCqChrlppy8Eynnh3e+Oq0VxdNaqUrwvSzjAZgtFQV36rqXcz69UCOiTH66pRpby+3AMmTGbAaNNI5bfH393GtsPlPH/7SF01qpRX7y7JxMdK2Nws1St15RddNarUmcXHxpDZJSVspjVqqKsW6apRpc4uO4xa22moqxb9fOkmjlTU8sdJQ3XVqFJnkONyUHS0ktoGt9WlaKirs1tacIC3NhQz68ocBvfoaHU5SoWlLJcDj4E9R6qsLkVDXTXvwIlqfv6mrhpVqiXh1AXJnx6l80SkREQ2NTk2VERWeVvb5YvIqOCWqUJNV40q5b8spwOR8OhX6s9P6gvA+FOOPQb8yhgzFPiF988qguiqUaX8lxQfS89OyfYIdWPMx8CxUw8D7b2POwDFAa5LWci3avTrA3TVqFL+CpcZMG1dfDQLeFdEnqDxH4YLm3uhiMwAZgD06tWrjadToeJbNdq+XTy/vX6QrhpVyk85Lgcrdxyhwe2xdLiyrWe+C7jfGNMTuB+Y29wLjTFzjDG5xphcp9PZxtOpUHnCu2r08RsG08WRaHU5StlGlstBXYOHfcerLa2jraE+DVjiffwaoDdKI8C/dxzhOd+q0fN01ahSreGbAWP1EExbQ70YGOd9fDlQGJhylFVOVtXzwGu6alSptgqXUG9xTF1EXgEuBdJEZD/wCHAn8LSIxAE1eMfMlX39fOkmSstrWXL3hbpqVKk2aJ8UT3r7RMvnqrcY6saYW5p5akSAa1EW8a0afeCqfrpqVKlzkO1ysNOmwy8qQvhWjQ7v1ZG7LtVVo0qdixxXKjtKKjDGWFaDhnoU83gMP168oXHV6CRdNarUucpyOaisc3PwZI1lNehPcRSbu3I3ebuO8si3L6B3lxSry1HK9rKd1t8s1VCPUlsOlvH4u9t01ahSAZSTrqGuLKCrRpUKji4pCXRMjqfQwlDXHqVRyLdq9PnvjtRVo0oFkIiQ7bR2BoxeqUeZT72rRm8d00tXjSoVBDnpDkubUGuoR5Gio5X84OX1ZDlT+Nk1A6wuR6mIlOV0cKyyjqMVtZacX0M9SpTV1DN9fj4GmDttpK4aVSpIrN4uQEM9CjS4PdyzcD17jlTytykjyEzT6YtKBUtOeiqAZUMweqM0Cjz69hd8UniE339nEGOzulhdjlIRrXuHJJITYik8rFfqKggW5O1hfl4Rd17ch0kjtUmJUsEmImQ5Hey06EpdQz2CfVJYyi/f+oIrznPx0NW6na5SoZJjYWs7DfUItaOkgrsXrifH5eDpW4YRG6MLjJQKlSyXg4MnayivqQ/5uTXUI9Dxyjqmz19LYlwMz03LxZGot06UCqUc7wyYnaWVIT+3hnqEqWvwMPOldRw8WcOc23Lp0SnZ6pKUijpWTmvUUI8gxhh+/uZG1uw+xuM3DGZ4r05Wl6RUVOrVOZmE2BhLuiC1GOoiMk9ESkRk0ynHfygi20Rks4g8FrwSlb+e/WQXi/P3c+/l2UwcmmF1OUpFrbjYGPqkpViyB4w/V+ovAOObHhCRy4CJwGBjzAXAE4EvTbXG8i8O89t/bOWbg7ox68p+VpejVNTLdjks2a2xxVA3xnwMHDvl8F3A74wxtd7XlAShNuWnL4rLuO/VzxiU0YEnbhxCjM50UcpyWS4H+45VUVPvDul52zqm3g+4WERWi8hHIjKyuReKyAwRyReR/NLS0jaeTjWnpLyGO+avpX1SPM/dlqt7uigVJnJcDjwGdh8J7QyYtoZ6HNAJGAP8F7BYmum0YIyZY4zJNcbkOp3ONp5OnUlNvZsZL67jeFU9z03LxdU+yeqSlFJevhkwoR6CaWuo7weWmEZrAA+QFriyVEuMMTz4v59TsO8ET00aysCMDlaXpJRqok9aCjES+mmNbQ31N4HLAUSkH5AAHAlUUaplf/pgB8s2FPPg+P6MH9jV6nKUUqdIio+lV+fkkM+AaXGpoYi8AlwKpInIfuARYB4wzzvNsQ6YZowxwSxUfeWtDcU89f52rh+ewV3jsqwuRynVjMYZMKGdq95iqBtjbmnmqVsDXIvyQ8G+E/z4tQ3k9u6kTaOVCnNZLgcfbS+lwe0hLjY0az11RamNFJ+o5o75+ThTE5k9dQSJcTrTRalwluNKpd5t2HusKmTn1FC3icraBqbPz6em3s28746kiyPR6pKUUi2wYgaMhroNeDyGWYsK2HaojD9PHkY/b7sspVR4y3I2to4M5QwYDXUb+P27W1n+xWF+/s0BXNbfZXU5Sik/pSbF061DUkhnwGioh7nX8vcx+6NdTB7di9svyrS6HKVUK4V6DxgN9TC2etdRHn5jIxdld+FXEy7QmS5K2ZCvX6nHE5pZ37YI9ZPV9Ww6cGw344YAAAjFSURBVNLqMkKq6Ggl339pHT07JfPXySOID9F0KKVUYOWkO6iqc3OwrCYk57NFUjyydBOTZuexatdRq0sJibKaeqbPz8djYO53R9IhOd7qkpRSbZTt9M6AORyaRUi2CPWfXnM+3Tq2Y9q8NXy4LbJ3+W1we7hn4Xr2HKnkb7cOp09aitUlKaXOwYDu7fnblOEMCtH+TLYI9fT2SSyaMYZsl4M7X8znn5sOWV1S0Dz69hd8UniER68dyIVZukeaUnaXmhTP1YO6hWxtiS1CHaCLI5GX7xzDoIwO3PPyet74bL/VJQXcgrw9zM8rYvrX+nDLqF5Wl6OUsiHbhDpAh3bxLJg+mtF9OvOjxRt4efVeq0sKmE8KS/nlW19w+XkuHr7mfKvLUUrZlK1CHSAlMY553x3JZf1dPPzGRp77ZJfVJZ2zHSUV3L1wPdlOB0/fPJRYbUenlGoj24U6NO5T/MytI/jmoG78+u9bePr9Quy68+/+41VMn7+WhNgYnpuWS2qSznRRSrVdi1vvhquEuBievnkoSfGxPPX+dqrqGnjo6vNstUBn2YZifvbGRoyB+d8bSc/OyVaXpJSyOduGOkBcbAyP3zCYlMRYZn+8i8q6Bv7/hIHEhPnwRXlNPY8s28yS9QcY3qsjT988TANdKRUQtg51gJgY4VcTLqBdQiyzP9pFVZ2bx74zOGQb0rfW+r3HmfVqAfuPV3HfFTn88PLssK1VKWU/tg91ABHhofHn4UiI4w/Lt1NT7+aPk4aREBc+Yen2GP6yYgdPf1BI1/ZJLJ45ltzMzlaXpZSKMP70KJ0HfAsoMcYMPOW5HwOPA05jjKWNp0WEH16RQ7uEWH799y1U1+Xzt1tHkBRvfXeg/ceruH9RAWv3HGfi0O48eu1A2usNUaVUEPhzKfsCMP7UgyLSE7gKCKvJ4ndc3Jf/vm4QH24v5fbn11JR22BpPcs2FHP105+w5WA5T00awtM3D9NAV0oFTYuhboz5GDh2hqeeAh4Ewm4u4eTRvXjqpqGs2XOMqXNXc7KqPuQ1VNQ28KPFBdz7ymfkuBy8c+/FXDesR8jrUEpFlzYNOovIBOCAMWaDH6+dISL5IpJfWlraltO1ybXDMvjL5OFsPlDGLc+u4mhFbcjOvX7vca55+hPe/OwA916Rw+KZY+nVRWe3KKWCr9WhLiLJwM+AX/jzemPMHGNMrjEm1+l0tvZ052T8wK48Oy2XXUcquGl2HodOBnc/Y7fH8KcPCrnxmTzcHsOimWP50VX9dHaLUipk2pI2WUAfYIOI7AF6AOtFpGsgCwuUcf2czL99FIdO1nDT7Dz2HasKynn2H6/i5jl5PLl8O98c1I137ruYkTq7RSkVYq0OdWPMRmOMyxiTaYzJBPYDw40xYbsf7ui+XVh45xhOVtdz4zN57CwNbL/AU2+G/umWYXRopzdDlVKh12Koi8grQB7QX0T2i8j04JcVeEN7duTVGWNo8HiYNDuPLQfLzvnvbHozNFtvhiqlwoCEciOs3Nxck5+fH7LzncnO0gpufW41VXVu5n9vFEN7dmzT3/PZ3uPc510Z+oPLc7hXV4YqpYJERNYZY3L9eW3UpVCW08HimWPp0C6eKc+uYnUr+566PYY/f1DIDXozVCkVhqIyiXp2TmbxzLF07ZDEtOfX8NF2/6Za+m6G/kFvhiqlwlRUhjpA1w6N+6/0TXNwx/y1LfY9bXoz9MmbhvD0zUP1ZqhSKuxEbahDY9/TV2aMYeBZ+p5W1DbwwOIN/3Ez9PrhPWy1b7tSKnpExC6N58LX9/SO+Wv50eINVNd5mDy6selz05uh916hN0OVUuEv6kMdwJEYxwu3j+Kul9bx8BsbqaxtaNy+17tN7qKZY3XsXCllCxrqXknxscyemsusRZ/xm3e2ADBhSOM2uTp2rpSyCw31JhLiYvjTzcPol76DPmkpTBjSXcfOlVK2oqF+irjYGGZd2c/qMpRSqk30rp9SSkUQDXWllIogGupKKRVBNNSVUiqCaKgrpVQE0VBXSqkIoqGulFIRRENdKaUiSEg7H4lIKVAUshNaIw04YnURYUY/k9PpZ3I6/UxO5/tMehtjnP68IaShHg1EJN/ftlPRQj+T0+lncjr9TE7Xls9Eh1+UUiqCaKgrpVQE0VAPvDlWFxCG9DM5nX4mp9PP5HSt/kx0TF0ppSKIXqkrpVQE0VBXSqkIoqEeICKyR0Q2ikiBiORbXY9VRGSeiJSIyKYmxzqLyHIRKfT+3snKGkOtmc/klyJywPt9KRCRa6ysMdREpKeIrBCRLSKyWUTu8x6P2u/KWT6TVn1XdEw9QERkD5BrjInqxRMicglQAbxojBnoPfYYcMwY8zsReQjoZIz5iZV1hlIzn8kvgQpjzBNW1mYVEekGdDPGrBeRVGAdcC3wXaL0u3KWz+QmWvFd0St1FVDGmI+BY6ccngjM9z6eT+MXNWo085lENWPMQWPMeu/jcmALkEEUf1fO8pm0ioZ64BjgPRFZJyIzrC4mzKQbYw5C4xcXcFlcT7j4gYh87h2eiZphhlOJSCYwDFiNfleA0z4TaMV3RUM9cC4yxgwHrgbu8f6XW6nm/A3IAoYCB4E/WFuONUTEAbwOzDLGlFldTzg4w2fSqu+KhnqAGGOKvb+XAG8Ao6ytKKwc9o4X+sYNSyyux3LGmMPGGLcxxgM8SxR+X0QknsbwWmiMWeI9HNXflTN9Jq39rmioB4CIpHhvbCAiKcDXgU1nf1dUWQZM8z6eBiy1sJaw4Asur+uIsu+LiAgwF9hijHmyyVNR+11p7jNp7XdFZ78EgIj0pfHqHCAOeNkY8xsLS7KMiLwCXErjlqGHgUeAN4HFQC9gL3CjMSZqbhw285lcSuN/pw2wB5jpG0uOBiLyNeATYCPg8R5+mMYx5Kj8rpzlM7mFVnxXNNSVUiqC6PCLUkpFEA11pZSKIBrqSikVQTTUlVIqgmioK6VUBNFQV0qpCKKhrpRSEeT/ABLT1R5+t/eoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from pandas import Series, DataFrame\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
